Forskningsgrupper
Forskningsprosjekter
Aktive forskningsprosjekter
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AI-Mind
Prosjektet har som mål å redusere utfordringene ved demens med å utvikle nye diagnostiserende verktøy og forbedre effektiviteten i helsesystemet.
Avsluttede forskningsprosjekter
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Teknologi og kunnskapsoverføring basert på samarbeid mellom Tsjekkia og Norge
Dette samarbeidsprosjektet mellom OsloMet og universitetet Hradec Králové i Tsjekkia vil utveksle erfaringer med teknologi- og kunnskapsoverføring.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Riechers, Keno; Morr, Andreas; Lehnertz, Klaus;
Lind, Pedro G.
; Boers, Niklas; Witthaut, Dirk; Gorjão, Leonardo Rydin
(2025).
Discontinuous stochastic forcing in Greenland ice core data.
Climate Dynamics.
Vol. 63.
https://doi.org/10.1007/s00382-025-07880-9
Lencastre, Pedro; Bystryk, Yurii S.; Yazidi, Anis; Denisov, Sergey;
Lind, Pedro G.
(2025).
Dynamical law behind eye movements: Distinguishing between Lévy and intermittent strategies.
Physical Review Research (PRResearch).
Vol. 7.
https://doi.org/10.1103/2bzm-t9k1
Silva, Pedro Rego Lencastre e; Devkota, Ananta;
Bhandari, Shailendra
;
Kuriakose, Bineeth
;
Lind, Pedro
(2025).
Comparing eye-tracking time series imaging methods in ADHD screening.
Proceedings of the International Joint Conference on Neural Networks.
https://doi.org/10.1109/ijcnn64981.2025.11228340
Ojha, Jaya; Presacan, Oriana;
Lind, Pedro G.
; Monteiro, Eric; Yazidi, Anis
(2025).
Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare.
ACM Transactions on Computing for Healthcare (HEALTH).
Vol. 6.
https://doi.org/https://dl.acm.org/doi/10.1145/371
Belhadi, Asma;
Yazidi, Anis
;
Lind, Pedro
; Djenouri, Youcef
(2025).
EEG Data Classification: Review and Taxonomy.
ACM Transactions on Computing for Healthcare (HEALTH).
Vol. 6.
https://doi.org/10.1145/3742795
Khadka, Rabindra
;
Lind, Pedro
;
Yazidi, Anis
; Belhadi, Asma
(2025).
DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications.
SoftwareX.
Vol. 30.
https://doi.org/10.1016/j.softx.2025.102140
Bhandari, Shailendra
;
Silva, Pedro Rego Lencastre e
;
Mathema, Rujeena
; Szorkovszky, Alexander;
Yazidi, Anis
;
Lind, Pedro
(2025).
Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity.
Scientific Reports.
Vol. 15.
https://doi.org/10.1038/s41598-025-05286-5
Belhadi, Asma;
Lind, Pedro
; Djenouri, Youcef;
Yazidi, Anis
(2025).
Enhanced visibility graph for EEG classification.
Frontiers in Neuroscience.
Vol. 19.
https://doi.org/10.3389/fnins.2025.1541062
Oriioma, Charles; Krivan, Josef Jan;
Mathema, Rujeena
; Silva, Pedro Rego Lencastre e;
Lind, Pedro
; Szorkovszky, Alexander;
Bhandari, Shailendra
(2025).
Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method.
arXiv.
https://doi.org/10.48550/ARXIV.2512.23926
Budhathoki, Anup; Gorjão, Leonardo Rydin;
Lind, Pedro
;
Bhandari, Shailendra
(2025).
Jump-diffusion models of parametric volume-price distributions.
arXiv.
https://doi.org/10.48550/ARXIV.2511.16838